@DanKornas: Building video-generation workflows is easier when inference, model configs, and integration paths live in one place. L…
Summary
LTX-Video is an open-source Python repository by Lightricks for generating and conditioning videos locally using LTX-Video models, with support for text/image inputs, multi-condition workflows, and integration with ComfyUI and Diffusers.
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Building video-generation workflows is easier when inference, model configs, and integration paths live in one place.
LTX-Video is Lightricks’ official Python repository for developers running and integrating its LTX-Video generation models.
It helps you generate and condition video locally by pairing Python inference with versioned pipeline configs and documented ComfyUI and Diffusers paths.
Key features: • Text and image inputs – run text-to-video or condition generation on an image. • Multi-condition workflows – place images or short clips at target frames. • Video extension – continue clips forward or backward. • Model choices – select 2B, 13B, distilled, or FP8 configurations. • Integration paths – use Python directly or follow ComfyUI and Diffusers guides.
The repository code is open-source under Apache 2.0; model checkpoints can have separate licenses.
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